Python, Aws

15 hours ago

Gurugram Haryana, India Cognizant Full time

**Exp: 9.5 to 13 years**

**Skill: Python, AWS (Glue/Lambda)**

**Location : Bangalore/Hyderabad/Kolkota/Pune/Chennai**

**Technical Skills**:
Apache Spark, Amazon S3,AWS Glue Catalog, AWS Glue ETL,AWS Glue Studio

**Responsibilities**:

- Design and develop scalable ETL processes using AWS Glue Studio to meet business requirements.
- Oversee the implementation of data pipelines and workflows in AWS Glue ETL to ensure efficient data processing.
- Provide expertise in managing and optimizing AWS Glue Catalog for metadata management and data discovery.
- Utilize Amazon S3 for data storage and ensure secure and efficient data retrieval.
- Implement and optimize data processing tasks using Apache Spark to handle large datasets.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
- Monitor and troubleshoot ETL jobs to ensure data quality and integrity.
- The associate should have a strong command over SQL-- Develop and maintain documentation for ETL processes and data pipelines.

The associate should have a strong command over SQL
- Ensure compliance with data governance and security policies.
- Participate in code reviews and provide constructive feedback to team members.
- Stay updated with the latest trends and best practices in data engineering and AWS technologies.
- Contribute to the continuous improvement of data engineering practices and processes.
- Work closely with cross-functional teams to support data-driven decision-making.
- Possess a Bachelors degree in Computer Science, Information Technology, or a related field.
- Demonstrate strong proficiency in AWS Glue Studio, AWS Glue ETL, and AWS Glue Catalog.
- Have extensive experience with Amazon S3 for data storage and retrieval.
- Show expertise in Apache Spark for data processing and analysis.
- Exhibit strong problem-solving skills and attention to detail.
- Display excellent communication and collaboration skills.
- Have experience in data governance and security practices.
- Show a proactive attitude towards learning and adopting new technologies.
- Have a solid understanding of data warehousing concepts and best practices.
- Be able to work independently and as part of a

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